| general_cfg: | |
| algo_name: PER_DQN | |
| device: cuda | |
| env_name: CartPole-v1 | |
| eval_eps: 10 | |
| eval_per_episode: 5 | |
| load_checkpoint: false | |
| load_path: Train_CartPole-v1_PER_DQN | |
| max_steps: 200 | |
| mode: train | |
| new_step_api: true | |
| render: false | |
| save_fig: true | |
| seed: 1 | |
| show_fig: false | |
| test_eps: 10 | |
| train_eps: 200 | |
| wrapper: null | |
| algo_cfg: | |
| batch_size: 64 | |
| buffer_size: 100000 | |
| epsilon_decay: 500 | |
| epsilon_end: 0.01 | |
| epsilon_start: 0.95 | |
| gamma: 0.99 | |
| hidden_dim: 256 | |
| lr: 0.0001 | |
| per_alpha: 0.6 | |
| per_beta: 0.4 | |
| per_beta_annealing: 0.001 | |
| per_epsilon: 0.01 | |
| target_update: 4 | |
| value_layers: | |
| - activation: relu | |
| layer_dim: | |
| - n_states | |
| - 256 | |
| layer_type: linear | |
| - activation: relu | |
| layer_dim: | |
| - 256 | |
| - 256 | |
| layer_type: linear | |
| - activation: none | |
| layer_dim: | |
| - 256 | |
| - n_actions | |
| layer_type: linear | |